Advancing glaucoma detection with convolutional neural networks: a paradigm shift in ophthalmology
Shafeeq Ahmed Haja, Vidyadevi Mahadevappa
Abstract
CNN = Convolutional Neural Networks, AI = Artificial Intelligence, IOP = Intraocular Pressure, OCT = Optical Coherence Tomography, CLSO = Confocal Scanning Laser Ophthalmoscopy, AUC-ROC = Area Under the Receiver Operating Characteristic Curve, RNFL = Retinal Nerve Fiber Layer, RNN = Recurrent Neural Networks, VF = Visual Field, AP = Average Precision, MD = Mean Defect, sLV = square-root of Loss Variance, NN = Neural Network, WHO = World Health Organization.
Topics & Concepts
GlaucomaConvolutional neural networkOptical coherence tomographyComputer scienceFundus (uterus)OptometryArtificial intelligenceDeep learningVisual fieldMedicineOphthalmologyRetinal Imaging and AnalysisGlaucoma and retinal disordersRetinal Diseases and Treatments